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» Model Selection: Beyond the Bayesian Frequentist Divide
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FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho
IJAR
2010
130views more  IJAR 2010»
14 years 8 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 3 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
GLOBECOM
2007
IEEE
15 years 3 months ago
An Analytical Model for a Book-Ahead Bandwidth Scheduler
— Optical networks with book-ahead bandwidth schedulers are being deployed to meet the high-speed and predictable-service networking requirements of applications in the scienti...
Xiangfei Zhu, Mark E. McGinley, Tao Li, Malathi Ve...
ICC
2008
IEEE
15 years 4 months ago
Evolution of Base Stations in Cellular Networks: Denser Deployment versus Coordination
Abstract— It has been demonstrated that base station cooperation can reduce co-channel interference (CCI) and increase cellular system capacity. In this work we consider another ...
Yifan Liang, Andrea J. Goldsmith, Gerard J. Foschi...